5 citations · 10 across the 3 of their papers we have counts for
3 papers
Triggerless data acquisition pipeline for Machine Learning based statistical anomaly detection
Gaia Grosso, Nicolò Lai, Matteo Migliorini +4
This work describes an online processing pipeline designed to identify anomalies in a continuous stream of data collected without external triggers from a particle detector. The pr…
A horizontally scalable online processing system for trigger-less data acquisition
Matteo Migliorini, Jacopo Pazzini, Andrea Triossi +2
The majority of high energy physics experiments rely on data acquisition and hardware-based trigger systems performing a number of stringent selections before storing data for offl…
Machine Learning Pipelines with Modern Big Data Tools for High Energy Physics
Matteo Migliorini, Riccardo Castellotti, Luca Canali +1
The effective utilization at scale of complex machine learning (ML) techniques for HEP use cases poses several technological challenges, most importantly on the actual implementati…